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Empirical Study For The Validation Of A Mathematical Model To Measure Corporate Performance In Manufacturing, Estudio Empirico Para La Validacion De Un Modelo Matematico Que Mide El Desempeno Corporativo En Industrias Manufactureras

Author

Listed:
  • Elizabeth Eugenia Diaz Castellanos
  • Carlos Diaz Ramos
  • Luis Alberto Barroso Moreno
  • Beatriz Pico Gonzalez

Abstract

In recent years there have been various concepts of improvement initiatives that promise results through superior performance. They create value for the organization. For this reason there has been increased interest in studying the process of implementing improvement strategies in organizations; Improvement strategies lead companies to align their strategies with performance indicators. However, there is little in the literature about how to optimize correlational models, i.e. models involving multiple variables simultaneously. The main purpose of this paper is to identify corresponding weights for the construction of a mathematical model capable of measuring corporate performance in manufacturing firms. We also compare the results obtained by applying multivariate statistical techniques to validate the model. Results show validity of the mathematical model was obtained, which makes possible its application in manufacturing enterprises

Suggested Citation

  • Elizabeth Eugenia Diaz Castellanos & Carlos Diaz Ramos & Luis Alberto Barroso Moreno & Beatriz Pico Gonzalez, 2016. "Empirical Study For The Validation Of A Mathematical Model To Measure Corporate Performance In Manufacturing, Estudio Empirico Para La Validacion De Un Modelo Matematico Que Mide El Desempeno Corporat," Revista Global de Negocios, The Institute for Business and Finance Research, vol. 4(1), pages 21-33.
    • Handle: RePEc:ibf:rgnego:v:4:y:2016:i:1:p:21-33
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    References listed on IDEAS

    as
    1. Yoram Wind & Thomas L. Saaty, 1980. "Marketing Applications of the Analytic Hierarchy Process," Management Science, INFORMS, vol. 26(7), pages 641-658, July.
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    More about this item

    Keywords

    Delphi Method; Analytic Hierarchy Process (AHP); Multivariate Statistical Techniques;
    All these keywords.

    JEL classification:

    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management

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